Pinecone vs Weaviate

from pinecone import Pinecone

pc = Pinecone(api_key=os.environ['PINECONE_API_KEY'])
index = pc.Index('my-index')

index.upsert(vectors=[{
  'id': 'doc-1',
  'values': embedding,
  'metadata': { 'text': 'Source document text' },
}])

results = index.query(
  vector=query_embedding, top_k=5, include_metadata=True
)

import weaviate from 'weaviate-client';

const client = await weaviate.connectToWeaviateCloud(
  process.env.WEAVIATE_URL,
  { authCredentials: new weaviate.ApiKey(process.env.WEAVIATE_API_KEY) }
);

const collection = client.collections.get('Article');
const result = await collection.query.nearText(['AI news'], { limit: 5 });
console.log(result.objects);